Gartner Research

Communicate Effectively With the Right Data Visualizations

Published: 16 July 2019

ID: G00383886

Analyst(s): Daren Brabham

Summary

With a dazzling array of visualization types in increasingly sophisticated, easy-to-use BI tools, users struggle to find the right visualization for data analysis. Here, we help data and analytics technical professionals in analytics and business intelligence navigate data visualization techniques.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework: Understanding How the Brain Processes Visual Data
    • Capitalizing on Natural Strengths, Avoiding Natural Deficiencies
  • Step 1: Understanding Use Case and Audience
  • Step 2: Determining Data Types
  • Step 3: Selecting Visualization Types
  • Step 4: Execution With BI Tool
    • Custom Visualizations
    • Aesthetic Choices for Comprehension
    • Visualizations Across Display Formats
    • Complex Visualizations to Communicate Multiple Data Points
  • Follow-Up
    • User Competence and Empowerment
    • Data Literacy for Augmented Analytics
  • Guidance Framework in Context: Visualizations of Sales and Social Media Data
    • Data Tracked
    • Data Types
    • Visualization Choices
  • Guidance Framework in Context: Visualizations of IoT Data for a Manufacturing Facility
    • Data Tracked
    • Data Types
    • Visualization Choices

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